Pinned Repositories
courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
DeepBench
Benchmarking Deep Learning operations on different hardware
dlrm
An implementation of a deep learning recommendation model (DLRM)
Great-Deep-Learning-Tutorials
A Great Collection of Deep Learning Tutorials and Repositories
hdp-solution
Hortonworks Data Platform on IBM Power Solution Toolkit
jupyter
Jupyter metapackage for installation, docs and chat
kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
linux
Linux kernel source tree
models
Models built with TensorFlow
anandharidass's Repositories
anandharidass/d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
anandharidass/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
anandharidass/DeepBench
Benchmarking Deep Learning operations on different hardware
anandharidass/dlrm
An implementation of a deep learning recommendation model (DLRM)
anandharidass/Great-Deep-Learning-Tutorials
A Great Collection of Deep Learning Tutorials and Repositories
anandharidass/hdp-solution
Hortonworks Data Platform on IBM Power Solution Toolkit
anandharidass/jupyter
Jupyter metapackage for installation, docs and chat
anandharidass/kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
anandharidass/linux
Linux kernel source tree
anandharidass/models
Models built with TensorFlow
anandharidass/numpy-100
100 numpy exercises (with solutions)
anandharidass/Recommendation-Systems
anandharidass/tensorflow
Computation using data flow graphs for scalable machine learning
anandharidass/tensorflow-mnist-tutorial
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
anandharidass/tensorflow-rnn-shakespeare
Code from the "Tensorflow and deep learning - without a PhD, Part 2" session on Recurrent Neural Networks.